卫星臭氧资料的发展与应用

随着卫星探测技术的进步、天气学和气候学理论的不断完善,以及高性能计算机广泛应用,卫星臭氧资料的种类得到极大丰富并被应用到多个研究领域中,取得了一系列重要成果。文中介绍了主要星载臭氧探测仪的发展概况,回顾了卫星臭氧资料在气象领域的应用研究成果,主要包括卫星臭氧资料在气旋或低压过程中、全球或区域臭氧的气候分布及变化特征、高原臭氧分布及变化特点、数值应用等方面的应用研究,并展望了卫星臭氧资料研究的未来发展趋势。      

Public views on economic growth,the environment and prosperity: Results of a questionnaire survey

The long-standing academic and public debate on economic growth, prosperity and environmental sustainability has recently gained new momentum. It lacks, however, a broad perspective on public opinion. Prior opinion surveys typically offered a simple dichotomous choice between growth and environmental protection. This study examines public beliefs and attitudes about a wider range of aspects of the growth debate. To this end, we conducted an online questionnaire survey including a country-wide, representative sample of 1008 Spanish citizens. Using factor analysis, we identify six distinct dimensions of public attitudes, referred to as: prosperity with growth; environmental limits to growth; general optimism; wrong priority; overrated GDP; and governmental control. We further analyze several specific questions associated with the growth debate, such as those concerning the desired GDP growth rate, the preferred growth-environment position, and beliefs about, as well as reasons for, a possible end or continuation of growth. We find that most respondents favor GDP growth rates of more than 3%. A majority views growth and environmental sustainability as compatible (green growth), while about one-third prefers either ignoring growth as a policy aim (agrowth), or stopping it altogether (degrowth). Only very few people want growth unconditionally (growth-at-all-costs). About one-third of the respondents believe that growth may be never-ending. We examine how support for or disagreement with different statements on growth are related to each other, as well as how they are influenced by socio-demographic, knowledge and ideology/values variables. Overall, our findings can inform public debates about the growth paradigm and its potential alternatives by providing a more nuanced understanding of public opinion. We make suggestions for future research, including modifying poll questions on growth and environment through offering a more diverse set of response options.     

Unravelling the United Kingdom’s climate policy consensus: The power of ideas,discourse and institutions

As climate change policies and governance initiatives struggle to produce the transformational social changes required, the search for stand out case studies continues. Many have pointed to the period between 2005 and 2008 in the United Kingdom as a promising example of national level innovation. With strong cross-party consensus and a first-of-its-kind legislation the UK established itself as a climate policy leader. However, early warning signs suggest that this institutionalised position is far from secure. Through a novel application of discursive institutionalism this article presents a detailed analysis of the role of ideas in unravelling this ambition under the Conservative-Liberal coalition administration (2010–2015). Discursive interactions among policymakers and other political actors were dominated by ideas about governmental responsibility and economic austerity, establishing an atmosphere of climate policy scepticism and restraint. By situating this conspicuous and influential process of bricolage within its institutional context the importance of how policymakers think and communicate about climate change is made apparent. The power of ideas to influence policy is further demonstrated through their cognitive and normative persuasiveness, by imposing over and excluding alternatives and in their institutional positioning. It can be concluded that despite innovative legislation, institution building and strategic coordination of different types of governance actors the ideational foundations of ambitious climate change politics in the UK have been undermined.     

Felt responsibility and climate engagement: Distinguishing adaptation from mitigation

Policy makers and citizens must choose from among a growing variety of strategic options as they try to cope optimally with climate change. As a means of more accurately predicting different types of climate change engagement, we empirically distinguish individuals’ felt responsibility for mitigation (FRm) from felt responsibility for adaptation (FRa), and assess support for different climate action strategies (mitigation and adaptation). We surveyed two U.S. samples two months apart, and the replication study confirmed Study 1′s findings of differing predictive powers for FRm vs. FRa. Each type of felt responsibility, controlling for the other, served as a mediator between belief in global warming (as well as belief in anthropogenic cause of climate change) and its corresponding climate action strategy (mitigation vs. adaptation). FRa predicted adaptation measures but not mitigation measures, while FRm predicted mitigation measures more strongly than it predicted adaptation but did predict both action strategies. We also found important individual differences: people’s disposition toward behaving proactively correlated positively with all types of climate engagement, and political orientation (liberal/conservative ideology) interacted with climate action strategy (mitigation vs. adaptation) in predicting all engagement variables. Comparing levels of support across the political spectrum, the mitigation measures were highly polarizing, while the adaptation measures were less divisive.     

Multi-model assessment of global hydropower and cooling water discharge potential under climate change

Worldwide, 98% of total electricity is currently produced by thermoelectric power and hydropower. Climate change is expected to directly impact electricity supply, in terms of both water availability for hydropower generation and cooling water usage for thermoelectric power. Improved understanding of how climate change may impact the availability and temperature of water resources is therefore of major importance. Here we use a multi-model ensemble to show the potential impacts of climate change on global hydropower and cooling water discharge potential. For the first time, combined projections of streamflow and water temperature were produced with three global hydrological models (GHMs) to account for uncertainties in the structure and parametrization of these GHMs in both water availability and water temperature. The GHMs were forced with bias-corrected output of five general circulation models (GCMs) for both the lowest and highest representative concentration pathways (RCP2.6 and RCP8.5). The ensemble projections of streamflow and water temperature were then used to quantify impacts on gross hydropower potential and cooling water discharge capacity of rivers worldwide. We show that global gross hydropower potential is expected to increase between +2.4% (GCM-GHM ensemble mean for RCP 2.6) and +6.3% (RCP 8.5) for the 2080s compared to 1971–2000. The strongest increases in hydropower potential are expected for Central Africa, India, central Asia and the northern high-latitudes, with 18–33% of the world population living in these areas by the 2080s. Global mean cooling water discharge capacity is projected to decrease by 4.5-15% (2080s). The largest reductions are found for the United States, Europe, eastern Asia, and southern parts of South America, Africa and Australia, where strong water temperature increases are projected combined with reductions in mean annual streamflow. These regions are expected to affect 11–14% (for RCP2.6 and the shared socio-economic pathway (SSP)1, SSP2, SSP4) and 41–51% (RCP8.5–SSP3, SSP5) of the world population by the 2080s.     

Preaching to different choirs: How to motivate dismissive,uncommitted, and alarmed audiences to adapt to climate change?

People vary considerably in terms of their knowledge, beliefs, and concern about climate change. Thus, an important challenge for climate change communicators is how to most effectively engage different types of audiences. This study aimed to identify distinct audience segments that vary in terms of their values, beliefs, and responses to climate change and determine for each segment which specific message attributes increased motivation to engage in climate adaptation. A sample of 1031 Australian residents (aged 18–66 years) completed an online survey assessing their values, beliefs, and behaviors related to climate change, and recording their responses to a broad range of climate change adaptation messages. Latent profile analysis identified three distinct audience segments: alarmed (34.4%), uncommitted (45.2%), and dismissive (20.3%). Sixty climate change adaptation messages were coded in terms of the presence/absence of six attributes: explicit reference to climate change, providing specific adaptation advice, strong negative emotive content, emphasis on collective responsibility, highlighting local impacts, and underscoring financial impacts. Participants viewed a random sample of six messages and rated the extent to which each message motivated them to seek out more information and immediately respond to the climate change threat portrayed in the message. Multilevel modeling indicated messages that included strong negative emotive content or provided specific adaptation advice increased adaptation intentions in all three audience segments. Omitting any mention of climate change and emphasizing local impacts increased adaptation intentions in dismissive audiences. Implications for tailoring and targeting climate change adaptation messages are discussed.     

Modelling complex systems of heterogeneous agents to better design sustainability transitions policy

This article proposes a fundamental methodological shift in the modelling of policy interventions for sustainability transitions in order to account for complexity (e.g. self-reinforcing mechanisms, such as technology lock-ins, arising from multi-agent interactions) and agent heterogeneity (e.g. differences in consumer and investment behaviour arising from income stratification). We first characterise the uncertainty faced by climate policy-makers and its implications for investment decision-makers. We then identify five shortcomings in the equilibrium and optimisation-based approaches most frequently used to inform sustainability policy: (i) their normative, optimisation-based nature, (ii) their unrealistic reliance on the full-rationality of agents, (iii) their inability to account for mutual influences among agents (multi-agent interactions) and capture related self-reinforcing (positive feedback) processes, (iv) their inability to represent multiple solutions and path-dependency, and (v) their inability to properly account for agent heterogeneity. The aim of this article is to introduce an alternative modelling approach based on complexity dynamics and agent heterogeneity, and explore its use in four key areas of sustainability policy, namely (1) technology adoption and diffusion, (2) macroeconomic impacts of low-carbon policies, (3) interactions between the socio-economic system and the natural environment, and (4) the anticipation of policy outcomes. The practical relevance of the proposed methodology is subsequently discussed by reference to four specific applications relating to each of the above areas: the diffusion of transport technology, the impact of low-carbon investment on income and employment, the management of cascading uncertainties, and the cross-sectoral impact of biofuels policies. In conclusion, the article calls for a fundamental methodological shift aligning the modelling of the socio-economic system with that of the climatic system, for a combined and realistic understanding of the impact of sustainability policies.     

Text-mining the signals of climate change doubt

Climate scientists overwhelmingly agree that the Earth is getting warmer and that the rise in average global temperature is predominantly due to human activity. Yet a significant proportion of the American public, as well as a considerable number of legislators in the U.S. Congress, continue to reject the “consensus view.” While the source of the disagreement is varied, one prominent explanation centres on the activities of a coordinated and well-funded countermovement of climate sceptics. This study contributes to the literature on organized climate scepticism by providing the first systematic overview of conservative think tank sceptical discourse in nearly 15 years. Specifically, we (1) compile the largest corpus of contrarian literature to date, collecting over 16,000 documents from 19 organizations over the period 1998–2013; (2) introduce a methodology to measure key themes in the corpus which scales to the substantial increase in content generated by conservative think tanks over the past decade; and (3) leverage this new methodology to shed light on the relative prevalence of science- and policy-related discussion among conservative think tanks. We find little support for the claim that “the era of science denial is over”—instead, discussion of climate science has generally increased over the sample period.     

Measuring and modeling Russian newspaper coverage of climate change

As a significant emitter of greenhouse gases and a country rich in fossil fuels, Russia plays a crucial role in achieving a comprehensive solution to climate-related challenges. Yet, Russia's official position on climate change has varied considerably since the beginning of global negotiations, with the country playing everything from policy leader to laggard. While there are a number factors that shape domestic policy positions, this study offers a comprehensive investigation of newspaper coverage on climate change in Russia. How have Russian newspapers discussed the issue since the Yeltsin era? We approach this question by compiling the largest data set of Russian newspaper coverage to date, which includes 11,131 climate-related articles from 65 papers over a roughly 35 year period. After introducing a “computer assisted” approach to measure the core themes running through climate change coverage, we statistically evaluate the national- and newspaper-level factors associated with how coverage is framed, focusing attention on 23 high circulation papers over the period from 2000 to 2014. We find that national-level predictors—particularly economic conditions—are highly influential in determining whether climate change is covered and how the issue is framed, while paper-level factors such as the presence of an energy interest and ownership structure also have notable effects. Overall, this study offers a rich data set and useful methods to better understand the drivers of climate communication in Russia.     

承德初霜冻预报指标分析及其预报方法

应用常规观测资料与ncep1°×1°再分析资料,对承德市各县区初霜的时空分布特征及南北县区初霜出现时间的稳定性进行了分析,在对117个初霜环流形势分析的基础上,建立了初霜预报的天气概念模型;筛选因子,分县区确立了预报指标;采用概率、指标、数值预报产品相结合的方法及概率区间取值法建立了分县区初霜预报模型;检验表明,该模型对于中重度初霜冻预报准确率可达95%以上,对轻度初霜的预报准确率可达68%以上,无漏报出现。